CROWD-SOURCES SYSTEM FOR AUTOMATIC MODELING OF SUPPLY-CHAIN AND OWNERSHIP INTERDEPENDENCIES THROUGH NATURAL LANGUAGE MINING OF MEDIA DATA
First Claim
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1. A system, comprising:
- a communication device to receive media data;
a computer processor for executing program instructions; and
a memory, coupled to the computer processor, for storing program instructions for execution by the computer processor for;
extracting supply-chain relationships for a plurality of business entities from textual data in the media data.
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Abstract
According to some embodiments, natural language processing may be employed on media data to discover events pertaining to—and, including changes in—ownership (including mergers and acquisitions) and supplier/client relationships between corporations (and other entities) in such a manner that the system may maintain and automatically update a computerized model of the events and the attendant relationship between the entities, including but not limited to monitoring risk to corporate reputation across the supply chain.
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Citations
10 Claims
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1. A system, comprising:
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a communication device to receive media data; a computer processor for executing program instructions; and a memory, coupled to the computer processor, for storing program instructions for execution by the computer processor for; extracting supply-chain relationships for a plurality of business entities from textual data in the media data.
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2. A system, comprising:
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a communication device to receive media data; a computer processor for executing program instructions; and a memory, coupled to the computer processor, for storing program instructions for execution by the computer processor for; disambiguating at least one business entity name in the media data, and extracting supply-chain relationships for a plurality of business entities from textual data, including the disambiguated business entity name, in the media data.
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3. A system, comprising:
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a communication device to receive media data; a computer processor for executing program instructions; and a memory, coupled to the computer processor, for storing program instructions for execution by the computer processor for; extracting supply-chain relationships for a plurality of business entities from textual data in the media data, identifying at least one time-sensitive change in the supply-chain relationships, and reporting an exception in response to said identifying.
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4. A system, comprising:
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a communication device to receive media data; a computer processor for executing program instructions; and a memory, coupled to the computer processor, for storing program instructions for execution by the computer processor for; extracting supply-chain relationships for a plurality of business entities from textual data in the media data, predicting at least one time-sensitive change in the supply-chain relationships that may occur in the future.
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5. A system, comprising:
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a communication device to receive media data; a computer processor for executing program instructions; and a memory, coupled to the computer processor, for storing program instructions for execution by the computer processor for; extracting supply-chain relationships for a plurality of business entities from textual data in the media data, creating a map of the supply-chain relationships for the plurality of business entities, and allowing a user to navigate within the map to receive in formation about the plurality of business entities.
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6. A system, comprising:
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a communication device to receive media data; a computer processor for executing program instructions; and a memory, coupled to the computer processor, for storing program instructions for execution by the computer processor for; extracting merger, acquisition, and ownership relations for a plurality of business entities from textual data in the media data.
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7. A system, comprising:
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a communication device to receive media data; a computer processor for executing program instructions; and a memory, coupled to the computer processor, for storing program instructions for execution by the computer processor for; disambiguating at least one business entity name in the media data, and extracting merger, acquisition, and ownership relations for a plurality of business entities from textual data, including the disambiguated business entity name, in the media data.
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8. A system, comprising:
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a communication device to receive media data; a computer processor for executing program instructions; and a memory, coupled to the computer processor, for storing program instructions for execution by the computer processor for; extracting merger, acquisition, and ownership relations for a plurality of business entities from textual data in the media data, identifying at least one time-sensitive change in the merger, acquisition, and ownership relations, and reporting an exception in response to said identifying.
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9. A system, comprising:
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a communication device to receive media data; a computer processor for executing program instructions; and a memory, coupled to the computer processor, for storing program instructions for execution by the computer processor for; extracting merger, acquisition, and ownership relations for a plurality of business entities from textual data in the media data, predicting at least one time-sensitive change in the merger, acquisition, and ownership relations that may occur in the future.
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10. A system, comprising:
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a communication device to receive media data; a computer processor for executing program instructions; and a memory, coupled to the computer processor, for storing program instructions for execution by the computer processor for; extracting merger, acquisition, and ownership relations for a plurality of business entities from textual data in the media data, creating a map of the merger, acquisition, and ownership relations for the plurality of business entities, and allowing a user to navigate within the map to receive in formation about the plurality of business entities.
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Specification